Oracle Data Warehouse Tuning for 10g
-
- Taschenbuch ausgewählt
- eBook
-
Sprache:Englisch
Fr. 120.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
01.09.2005
Verlag
Butterworth-HeinemannSeitenzahl
504
Maße (L/B/H)
23.4/19/3.1 cm
Gewicht
1025 g
Sprache
Englisch
ISBN
978-1-55558-335-4
"This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience.
- Tim Donar, Author and Systems Architect
for Enterprise Data Warehouses
Tuning a data warehouse database focuses on large
transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network
and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame.
A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.
* Takes users beyond basics to critical issues in running most efficient data warehouse applications
* Illustrates how to keep data going in and out in the most productive way possible
* Focus is placed on Data Warehouse performance tuning
- Tim Donar, Author and Systems Architect
for Enterprise Data Warehouses
Tuning a data warehouse database focuses on large
transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network
and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame.
A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.
* Takes users beyond basics to critical issues in running most efficient data warehouse applications
* Illustrates how to keep data going in and out in the most productive way possible
* Focus is placed on Data Warehouse performance tuning
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung